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dc.contributor.authorBostater, Charles R.
dc.contributor.authorGimond, Manuel
dc.date.accessioned2017-10-06T17:37:48Z
dc.date.available2017-10-06T17:37:48Z
dc.date.issued1995-12-18
dc.identifier.citationBostater, C., & Gimond, M. (1995). Methodology evaluation for remotely estimating water quality parameters in estuarine waters. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 2586 14-25.en_US
dc.identifier.urihttp://hdl.handle.net/11141/1817
dc.descriptionDissolved organic matter, Double inflection ratio spectra, Estuarine waters, Second derivative spectraen_US
dc.description.abstractWater absorption signatures were measured from water samples placed in a 50 cm pathlength cylindrical cuvette. Quantitative analysis of chlorophyll-a and dissolved organic matter (DOM- humic acid, fulvic acid, or tannic acid) was conducted using second derivative spectra followed by computation of double inflection ratio (DIR) spectra for all possible combinations of bands (from 362 - 1115 nm with 252 channels). A specially designed instrument system is described which allows measurements of absorption of particulate and dissolved organic matter (chlorophyll-a and DOM) in a water sample. The ability of the system to allow measurement of absorption signatures and relating the data to observed or in-situ water reflectance signatures measured from a moving or in-situ platform is described. The methods demonstrate the value of high spectral resolution signatures to estimate concentrations of the water quality parameters and an analytical technique using optimal ambient correlation spectroscopy for selecting bands or channels for estimating concentrations directly from spectral absorption signatures.en_US
dc.language.isoen_USen_US
dc.rightsThis published article is made available in accordance with publishers policy. It may be subject to U.S. copyright law.en_US
dc.rights.urihttp://spie.org/publications/journals/guidelines-for-authors#Terms_of_Useen_US
dc.titleMethodology evaluation for remotely estimating water quality parameters in estuarine watersen_US
dc.typeConference Proceedingen_US
dc.identifier.doi10.1117/12.228616


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